Vadym Kazulkin
High performance Serverless Java on AWS
#1about 5 minutes
Understanding Java's challenges in serverless environments
Java's popularity contrasts with its low serverless adoption on AWS Lambda due to significant cold start and memory footprint issues.
#2about 6 minutes
Deconstructing the AWS Lambda cold start lifecycle
A new execution environment is created for the first request or during scaling, involving steps like code download and JVM initialization that cause latency.
#3about 4 minutes
Reducing cold starts with AWS SnapStart
AWS SnapStart improves Java startup performance by creating a snapshot of an initialized microVM during deployment and restoring it on invocation.
#4about 2 minutes
Optimizing SnapStart performance with priming techniques
Use the `beforeCheckpoint` CRaC hook to pre-initialize expensive components like HTTP clients and JSON marshallers, moving their setup cost into the deployment phase.
#5about 6 minutes
Benchmarking SnapStart and key performance factors
Performance benchmarks show that SnapStart with priming significantly reduces cold starts, while factors like memory allocation and package size also impact latency.
#6about 3 minutes
Tuning JVM compilation and garbage collection
Adjusting Java compilation options, such as using tiered compilation or stopping at level one, and sticking with the default G1 garbage collector can optimize performance.
#7about 5 minutes
Selecting the right HTTP client and architecture
The AWS CRT HTTP client outperforms the default Apache client for cold starts, and the ARM64 architecture offers a cost-effective alternative to x86.
#8about 4 minutes
How SnapStart's tiered cache improves performance
SnapStart uses a tiered low-latency cache that makes subsequent cold starts progressively faster after the initial invocations, but be aware of its limitations like a 14-day inactivity timeout.
#9about 2 minutes
Achieving peak performance with GraalVM native image
GraalVM Native Image provides the best performance by creating a pre-compiled native executable, resulting in the fastest cold starts and lowest memory footprint.
#10about 4 minutes
Navigating the challenges of GraalVM native image
Adopting GraalVM requires managing its closed-world assumption through reflection configuration and accommodating longer, more resource-intensive build processes in your CI/CD pipeline.
#11about 3 minutes
Choosing between SnapStart and GraalVM
Start with the fully managed AWS SnapStart for significant improvements with minimal effort, and adopt GraalVM Native Image when absolute peak performance is a critical business requirement.
Related jobs
Jobs that call for the skills explored in this talk.
Featured Partners
Related Videos
High performance Serverless Java on AWS
Vadym Kazulkin
2021: Familiar APIs on Kickass Runtimes #slideless
Adam Bien
Serverless-Native Java with Quarkus
Alex Soto
Serverless Java in Action: Cloud Agnostic Design Patterns and Tips
Kevin Dubois & Daniel Oh
Microservices with Micronaut
Moritz Kammerer
Single Server, Global Reach: Running a Worldwide Marketplace on Bare Metal in a Cloud-Dominated World
Jens Happe
Server Side Serverless in Swift
Sebastien Stormacq
Java 21: The Revolution of Virtual Threads - A Deep Dive
Christian Woerz
From learning to earning
Jobs that call for the skills explored in this talk.
![Senior Software Engineer [TypeScript] (Prisma Postgres)](https://wearedevelopers.imgix.net/company/283ba9dbbab3649de02b9b49e6284fd9/cover/oKWz2s90Z218LE8pFthP.png?w=400&ar=3.55&fit=crop&crop=entropy&auto=compress,format)

Senior Software Engineer [TypeScript] (Prisma Postgres)
Prisma
Remote
Senior
Node.js
TypeScript
PostgreSQL
Software Engineer - AWS & Java
Cognizant
Remote
Intermediate
Java
JavaScript
Agile Methodologies
Amazon Web Services (AWS)


